Agents
Large Language Models (LLMs) are trained on vast amounts of data, most of which is automatically scraped from the internet. This data …
The ability of large language models (LLMs) to mimic human-like intelligence has led to a surge in LLM-based autonomous agents. Though …
The ability to predict outcomes of interactions between embodied agents and objects is paramount in the robotic setting. While …
Recent advancements in large language models (LLMs) have sparked interest in developing autonomous web agents capable of performing …
The BrowserGym ecosystem addresses the growing need for efficient evaluation and benchmarking of web agents, particularly those …
Learning generalist embodied agents, able to solve multitudes of tasks in different domains is a long-standing problem. Reinforcement …
We study the use of large language model-based agents for interacting with software via web browsers. Unlike prior work, we focus on …
Contemporary Large Language Models (LLMs) exhibit a high degree of code generation and comprehension capability. A particularly …
The accurate modeling of dynamics in interactive environments is critical for successful long-range prediction. Such a capability could …
In today’s digitally driven world, dialogue systems play a pivotal role in enhancing user interactions, from customer service to …